Part 6/8:
The crux of AI interaction lies within a methodology known as Reinforcement Learning from Human Feedback (RLHF). This technique incorporates continuous human guidance to shape AI behavior, mimicking childlike learning processes where individuals socialize the AI. However, a problematic conundrum arises when those imparting feedback are themselves laden with biases. The professionals engaged in this task often originate from “trust and safety” divisions of major social media, raising concerns regarding their potential ideological biases permeating the training of AI models.